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Disretization Preprocessing within Rough Set & NN classifier

This project is about preprocessing method in data mining using machine learning knowledge. I m trying to use C++ programming since the basic coding of the three algorithms which used to do discretization is in C++. The three algorithms are Equal Frequency Binning, Ent-MDLP and Boolean Reasoning. I m using all these 3 methods to enhance learning process through two classifiers. Those two classifiers are Rough Set and Neural Network Classifiers. This project is to determine which classifier is better within the three algorithms. Which algorithm is more accurate and better to be used in which classifier? Willing to pay USD 100. Anyone interested please mail me for more details. I will able to give more description.

Taidot: C-ohjelmointi, tietojenkäsittely

Näytä lisää: using algorithms, use algorithms programming, set data, set algorithm, learning basic programming, learning algorithms programming, data mining process, data algorithms, programming boolean, boolean programming, all algorithms, algorithm set, algorithm coding, about algorithms, rough, reasoning, nn, neural , neural network, learning network, frequency, ent, data mining using, boolean, programming data mining

About the Employer:
( 0 reviews ) johor bahru, Malaysia

Projektin tunnus: #494481

2 freelanceria on tarjonnut keskimäärin 100 $ tähän työhön

geetashokeen

i am C++ professional and ready to your project. Regards, Geeta

100 $ USD 7 päivässä
(0 arvostelua)
0.0
paulamansour

I'm a professional C++ programmer; Also I studied Mathematics for 4 years in the university; so my math. background is solid; thanks in advanced; willing have your trust;

100 $ USD 15 päivässä
(0 arvostelua)
0.0